It is clear that the use of Artificial Intelligence in industry is transforming the business environment, the way business transactions are conducted and, consequently, society in general. And it is that the implementation of AI-based software is enabling companies to take their business processes and models to the next level.
This affects all sectors, but a graphic example of the above is the use of AI in the microfinance industry. For example, the impact of this type of technology in the field of fast Internet loans has radically changed the possibilities available to lower-income users to access the conventional financial system. For example, accessing fast credit in less than 48 hours is now easier thanks to the use of Artificial Intelligence.
In this article, we will explore the benefits and risks of the scope of the use of AI by organizations engaged in granting fast credit online, especially to the underprivileged sectors, based on the data and information extracted from their cell phones. As a result, their lives are made easier.
How the use of AI affects the fast credit industry.
Facilitating access to fast credit thanks to the use of the best AI has numerous advantages, not only in the speed of granting both for customers and institutions, but it goes far beyond that. These are some keys to the application of Artificial Intelligence by financial organizations, both from an internal and external perspective:
– Optimization and cost reduction: With AI, a microfinance company can significantly automate its processes for customer verification and acquisition, collections management, accounting, etc. In this way, the organization reduces operating costs and, consequently, manages to provide a better quality service, increases its efficiency, improves service security, etc.
– Innovation and differentiation: the use of Artificial Intelligence helps the fast credit sector to offer products that are much better adapted to the needs of its customers. As we told you at the beginning, through this type of technology, microfinance organizations can extract socio-economic data from their consumers and thus determine their eligibility for a credit benefit.
– Increasing financial inclusion: through applications that employ AI, organizations can facilitate access to their services for disadvantaged groups. Whether they are people living in remote areas, or even those who do not have identity documents or a bank account.
Example of the use of AI in the microfinance industry.
An example of the latter is precisely the mobile applications for applying for quick loans, whereby with a simple biometric verification the user has no need to present any identity document.
As you have been able to appreciate, the use of AI in the microfinance industry not only brings benefits to the company, but also to its customers. However, although the advantages of implementing Artificial Intelligence enhance the social mission of financial inclusion of this type of organizations, it is also true that it represents a series of challenges and risks.
These challenges include the ability of organizations to ensure the security of customer data, mechanisms to avoid discriminatory decisions, staff training to adapt to technological change, etc.
